Astrochemical modelling of infrared dark clouds
Negar Entekhabi, Jonathan C. Tan, Giuliana Cosentino, Chia-Jung Hsu,, Paola Caselli, Catherine Walsh, Wanggi Lim, Jonathan D. Henshaw, Ashley T., Barnes, Francesco Fontani, Izaskun Jim\'enez-Serra

TL;DR
This study models the chemical conditions in infrared dark clouds to understand their role in star formation, finding low cosmic ray ionisation rates and ages under 1 million years, with no clear link to star formation activity.
Contribution
It provides the first systematic astrochemical modeling of IRDCs, constraining CRIR and chemical age across multiple regions with observational data.
Findings
CRIR estimated between 10^{-18} and 10^{-17} s^{-1}
Astrochemical ages less than 1 million years
No correlation between star formation activity and CRIR
Abstract
Infrared dark clouds (IRDCs) are cold, dense regions of the interstellar medium (ISM) that are likely to represent the initial conditions for massive star formation. It is thus important to study the physical and chemical conditions of IRDCs to provide constraints and inputs for theoretical models of these processes. We aim to determine the astrochemical conditions, especially cosmic ray ionisation rate (CRIR) and chemical age, in different regions of the massive IRDC G28.37+00.07 by comparing observed abundances of multiple molecules and molecular ions with the predictions of astrochemical models. We have computed a series of single-zone astrochemical models with a gas-grain network that systematically explores the parameter space of density, temperature, CRIR, and visual extinction. We have also investigated the effects of choices of CO ice binding energy and temperatures achieved in…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Atmospheric Ozone and Climate · Molecular Spectroscopy and Structure
